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Background: Adherence to regular outpatient visits is vital to managing noncommunicable diseases (NCDs), a growing burden in low and middle-income countries. We characterized visit adherence among patients with NCDs in rural Haiti, hypothesizing higher poverty and distance from the clinic were associated with lower adherence.Methods: We analyzed electronic medical records from a cohort of adults in an NCD clinic in Mirebalais, Haiti (April 2013 to June 2016). Visit adherence was: 1) visit constancy (≥1 visit every 3 months), 2) no gaps in care (> 60 days between visits), 3) ≥1 visit in the last quarter, and 4) ≥6 visits per year. We incorporated an adapted measure of intensity of multidimensional poverty. We calculated distance from clinic as Euclidean distance or self-reported transit time. We used multivariable logistic regressions to assess the association between poverty, distance, and visit adherence.Results: We included 463 adult patients, mean age 57.8 years (SE 2.2), and 72.4% women. Over half of patients had at least one visit per quarter (58.1%), but a minority (19.6%) had no gaps between visits. Seventy percent of patients had a visit in the last quarter, and 73.9% made at least 6 visits per year. Only 9.9% of patients met all adherence criteria. In regression models, poverty was not associated with any adherence measures, and distance was only associated with visit in the last quarter (OR 0.87, 95% CI [0.78 to 0.98], p = 0.03) after adjusting for age, sex, and hardship financing.Conclusions: Visit adherence was low in this sample of adult patients presenting to a NCD Clinic in Haiti. Multidimensional poverty and distance from clinic were not associated with visit adherence measures among patients seen in the clinic, except for visit in the last quarter. Future research should focus on identifying and addressing barriers to visit adherence. [ABSTRACT FROM AUTHOR]

Background: Poverty is a major barrier to healthcare access in low-income countries. The degree of equitable access for noncommunicable disease (NCD) patients is not known in rural Haiti. Objectives: We evaluated the poverty distribution among patients receiving care in an NCD clinic in rural Haiti compared with the community and assessed associations of poverty with sex and distance from the health facility. Methods: We performed a cross-sectional study of patients with NCDs attending a public-sector health center in rural Haiti 2013-2016, and compared poverty among patients with poverty among a weighted community sample from the Haiti 2012 Demographic and Health Survey. We adapted the multidimensional poverty index: people deprived =44% of indicators are among the poorest billion people worldwide. We assessed hardship financing: borrowing money or selling belongings to pay for healthcare. We examined the association between facility distance and poverty adjusted for age and sex using linear regression. Results: Of 379 adults, 72% were women and the mean age was 52.5 years. 17.7% had hypertension, 19.3% had diabetes, 3.1% had heart failure, and 33.8% had multiple conditions. Among patients with available data, 197/296 (66.6%) experienced hardship financing. The proportions of people who are among the poorest billion people for women and men were similar (23.3% vs. 20.3%, p > 0.05). Fewer of the clinic patients were among the poorest billion people compared with the community (22.4% vs. 63.1%, p < 0.001). Patients who were most poor were more likely to live closer to the clinic (p = 0.002). Conclusion: Among patients with NCD conditions in rural Haiti, poverty and hardship financing are highly prevalent. However, clinic patients were less poor compared with the community population. These data suggest barriers to care access particularly affect the poorest. Socioeconomic data must be collected at health facilities and during community-level surveillance studies to monitor equitable healthcare access. Highlights: • Poverty and hardship financing are highly prevalent among NCD patients in rural Haiti. • Patients attending clinic are less poor than expected from the community. • People travelling farther to clinic are less poor. • Socioeconomic data should be collected to monitor healthcare access equity. [ABSTRACT FROM AUTHOR]

Objective: To assess how quality and availability of reproductive, maternal, neonatal (RMNH) services vary by district wealth and urban/rural status in Zambia.Methods: We conducted a retrospective analysis of data from the Millennium Development Goal Acceleration Initiative baseline assessment of 117 health facilities in 9 districts. Quality was assessed through a composite score of 23 individual RMNH indicators, ranging from 0 to 1. Availability was evaluated by density of providers and facilities. Districts were divided into wealth groups based on the multidimensional poverty index (MPI). Relative inequity was calculated using the concentration index for quality indicators (positive favours rich, negative favours poor). Multivariable linear regression was performed for the dependent variable composite quality indicator using MPI, urban/rural, and facility level of care as independent variables.Results: 13 hospitals, 85 health centres and 19 health posts were included. The RMNH composite quality indicator was 0.64. Availability of facilities and providers was universally low. The concentration index for the composite quality indicator was -0.015 [-0.043, 0.013], suggesting no clustering to favour either rich or poor districts. Rich districts had the highest absolute numbers of health facilities and providers, but lowest numbers per facility per 1 000 000 population. Urban districts had slightly better service quality, but not availability. Using regression analysis, only facility level of care was significantly associated with quality outcome.Conclusions: Composite quality of RMNH services did not vary by district wealth, but was slightly higher in urban districts. The availability data suggest that the higher population in richer districts outpaces health infrastructure. [ABSTRACT FROM AUTHOR]